Device for detecting thermal insulation hollowing of outer wall by automatically climbing wall and knocking

Abstract

The utility model discloses a device for detecting thermal insulation hollowing of an outer wall through automatic wall climbing and knocking, and relates to the technical field of building detection equipment. The device comprises a driving device, a rope device and an unmanned carrying detection platform, the driving device comprises a motor, guide rails, a first control unit and a sliding mechanism, the guide rails are installed at the top end and the bottom end of a wall, and the sliding mechanism is slidably installed on the guide rails; the rope device comprises a rope and a winch, and the winch is installed on the sliding mechanism. The unmanned carrying detection platform comprises a rack, a knocking module, a sound receiving module and a processor, the rack is connected with a sliding mechanism through a rope, the sliding mechanism controls the rack to move horizontally, and the rope controls the rack to move vertically. According to the utility model, the driving device and the unmanned carrying detection platform are connected through the rope system, so that the comprehensive coverage of a detection area is realized, the detection efficiency is improved, the accuracy is improved, and the manual detection error is reduced.

Description

Technical Field

[0001] This application relates to the technical field of building detection equipment, and particularly to a device for automatically climbing walls and knocking to detect the hollowing of exterior wall thermal insulation. Background Art

[0002] In construction projects, the detection of the hollowing of the thermal insulation layer is an important link to ensure the project quality. Traditional detection methods mainly rely on manual knocking detection. Usually, a traction device is used in cooperation with a hanging basket. The detection personnel stand in the hanging basket, and the hanging basket is lowered by the traction device, and then a series of detection work is carried out on the building exterior wall. This method not only has low efficiency, but also is limited by the skills and experience of the operators, and it is difficult to guarantee the detection accuracy and comprehensiveness. In recent years, although some automated detection devices have emerged, there are still many deficiencies in their operation convenience, detection accuracy and data processing. Therefore, to solve the above problems, there is an urgent need for an automated detection device to improve the detection efficiency and accuracy. Summary of the Utility Model

[0003] To solve the above technical problems, this application provides a device for automatically climbing walls and knocking to detect the hollowing of exterior wall thermal insulation.

[0004] The device for automatically climbing walls and knocking to detect the hollowing of exterior wall thermal insulation provided by this application adopts the following technical solutions:

[0005] A driving device, including a motor, a guide rail, a first control unit and a sliding mechanism. The motor and the first control unit are arranged on the sliding mechanism. The guide rail is installed on the roof and the bottom end of the wall to be detected. The sliding mechanism is slidably installed on the guide rail. The first control unit controls the motor to move horizontally along the guide rail.

[0006] A cable device, including a winch and a cable. The cable is fixed on the winch. The winch is fixed on the sliding mechanism. The motor drives the winch to rotate to wind and unwind the cable.

[0007] An unmanned carrier detection platform, including a frame, a knocking module, a sound receiving module and a processor. The frame is connected to the sliding mechanism through the cable. The sliding mechanism controls the horizontal movement of the frame. The cable controls the vertical movement of the frame. The knocking module and the sound receiving module are respectively connected to the processor. The sound receiving module receives the sound signal after the knocking module knocks.

[0008] Further, the knocking module includes a force hammer, a knocking driving mechanism and a second control unit. The force hammer and the knocking driving mechanism are respectively connected to the second control unit. The second control unit is connected to the processor.

[0009] Further, the sound receiving module includes a microphone array, a signal amplifier, and a filter. One end of the signal amplifier is connected to the microphone array, and the other end is connected to the filter. The filter is connected to the processor.

[0010] Further, the processor includes a signal processing unit and an algorithm library. The signal processing unit is electrically connected to the filter and is used to obtain the sound data of the filter. The algorithm library is used for time-domain and frequency-domain analysis to obtain the frequency of the sound data and determine whether the detection area is hollow based on the frequency of the sound data.

[0011] Further, the unmanned transport detection platform further includes an inkjet marking module for inkjetting at the positions determined by the processor to be hollow.

[0012] Further, the unmanned transport detection platform further includes a storage module for storing detection data and results, and is also used for data export and remote transmission.

[0013] Further, the unmanned transport detection platform further includes a positioning module for recording the positions determined by the processor to be hollow and saving the position information.

[0014] Further, the unmanned transport detection platform further includes an image acquisition module for real-time acquisition of images of the detection area.

[0015] Further, the unmanned transport detection platform further includes an automatic obstacle avoidance module for detecting obstacles ahead and automatically adjusting the path to avoid collisions.

[0016] Further, the unmanned transport detection platform further includes a data transmission module for real-time transmission of detection data to a cloud server via a wireless network to achieve remote storage and analysis of the data.

[0017] By adopting the above technical solutions, the vertical movement of the unmanned transport detection platform can be achieved by controlling the winch to wind and unwind the cable, and the horizontal movement of the sliding mechanism can be controlled through the guide rail, so as to realize the full coverage of the detection area by the unmanned transport detection platform. The knocking module knocks on the building surface, and at the same time, the sound receiving module is used to receive the sound. The processor is used to extract and process the frequency domain frequency of the sound signal. By comparing the sound frequencies, it is judged whether the detection point is hollow, and the hollow position is marked with inkjet, which can achieve the full-automatic and full-coverage of the building exterior wall to be detected, realize efficient and accurate hollow detection, avoid the deficiencies of manual detection. In addition, by combining the positioning module, image acquisition module, automatic obstacle avoidance module, data transmission module with the control system, the precise control of the transport detection platform is realized, ensuring the comprehensiveness and accuracy of the detection. The detection data is transmitted to the cloud in real time through the data transmission module, which is also convenient for remote storage and analysis of the data, providing strong support for the monitoring of building quality. Description of the Drawings

[0018] Figure 1 is a schematic diagram of the device mechanism for automatically climbing the wall and knocking to detect the hollow of the exterior wall thermal insulation of the present invention.

[0019] Figure 2 is the present invention Figure 1 side view.

[0020] Figure 3 is a schematic diagram of the knocking module structure of the device for automatically climbing the wall and knocking to detect the hollow of the exterior wall thermal insulation of the present invention.

[0021] Figure 4 is a schematic diagram of the sound receiving module structure of the device for automatically climbing the wall and knocking to detect the hollow of the exterior wall thermal insulation of the present invention.

[0022] Figure 5 is a schematic diagram of the unmanned transport detection platform structure of the device for automatically climbing the wall and knocking to detect the hollow of the exterior wall thermal insulation of the present invention.

[0023] Description of the reference numerals: 1. Driving device; 101. Motor; 102. Guide rail; 103. First control unit; 104. Sliding mechanism; 2. Cable device; 201. Winch; 202. Cable; 3. Unmanned transport detection platform; 301. Frame; 302. Knocking module; 303. Sound receiving module; 304. Processor; 305. Inkjet marking module; 306. Storage module; 307. Positioning module; 308. Image acquisition module; 309. Automatic obstacle avoidance module; 310. Data transmission module. Detailed Embodiment

[0024] To make the objectives, technical solutions, and advantages of the embodiments of the present utility model clearer, the following will clearly and completely describe the technical solutions in the embodiments of the present utility model with reference to the accompanying drawings in the embodiments of the present utility model.

[0025] The following will further elaborate on this application Figure 1 in Figure 2 combination Figure 3 with the accompanying drawings.

[0026] This embodiment discloses a device for automatically climbing a wall and knocking to detect the hollowing of exterior wall thermal insulation, which includes three main parts: a driving device 1, a cable device 2, and an unmanned carrier detection platform 3. The driving device 1 consists of a motor 101, a guide rail 102, a first control unit 103, and a sliding mechanism 104. The cable device 2 includes a winch 201 and a cable 202. The unmanned carrier detection platform 3 includes a frame 301, a knocking module 302, a sound receiving module 303, a processor 304, an inkjet marking module 305, a storage module 306, a positioning module 307, an image acquisition module 308, an automatic obstacle avoidance module 309, and a data transmission module 310.

[0027] The cable device 2 drives the winch 201 to wind and unwind the cable 202 through the motor 101, thereby controlling the vertical movement of the unmanned carrier detection platform 3. The guide rail 102 is installed at the top and bottom of the detected wall, enabling the cable system 2 to move horizontally, and further realizing the horizontal movement of the frame 301 along the guide rail path. The first control unit 103 is responsible for comprehensively controlling the operation of the cable system 2 and the guide rail 102 to ensure that the unmanned carrier detection platform 2 can move stably along the preset path. The unmanned carrier detection platform 2 is the core part of this system. The frame 301 is made of lightweight and strong materials and is connected to the driving device 1 through the cable 202 to achieve the overall movement of the platform. The guide rails 102 are oppositely arranged at the top and bottom of the building exterior wall. The sliding mechanism 104 is slidably installed on the guide rail 102 and can be connected by bolts, screws, clamps, welding, bonding, or other mechanical connection methods to ensure that the sliding mechanism 104 can move horizontally on the building exterior wall surface. The cable 202 is fixed to the winch 201 and is connected to the frame 301 part of the unmanned carrier detection platform 2. By controlling the winch to wind and unwind the cable, the vertical movement of the unmanned carrier detection platform 2 on the building exterior wall surface is realized. Through designing the detection path, the automatic wall-climbing knocking detection of the entire building exterior wall is achieved, ensuring the comprehensive and accurate detection and marking of the hollowing of the building exterior wall thermal insulation.

[0028] The knocking module 302 is a key component in the detection process. It includes a force hammer 3021, a knocking drive mechanism 3022, and a second control unit 3023. The force hammer 3021 consists of three independently coded electromagnetic hammers. Each electromagnetic hammer realizes the knocking action through electromagnetic drive. The control unit controls the energization of the electromagnetic coil of the knocking drive mechanism to generate a magnetic field situation, driving the electromagnetic hammer to knock. The control unit is responsible for presetting the knocking program to ensure that each force hammer knocks in the set order and frequency. For example, after the No. 1 hammer knocks 3 times, the No. 2 hammer starts to knock 3 times, and the No. 3 hammer starts to knock 3 times. Or after the No. 1 hammer knocks 5 times, the No. 2 hammer starts to knock 1 time, and the No. 3 hammer knocks 5 times. The knocking time, the number of knocks, and the knocking force of the three force hammers can all be adjusted adaptively. The sound data obtained from each knocking scheme is different. Comprehensive judgment is made based on the data obtained from multiple schemes to determine whether there is a hollowing in the detection area. In addition, the number of force hammers and the knocking frequency can be adjusted according to the actual detection requirements. For example, in areas that require more precise detection, the number of force hammers can be increased or the knocking frequency can be increased to obtain more sound data.

[0029] The sound receiving module 303 includes a microphone array 3031, a signal amplifier 3032, and a filter 3033. The microphone array 3031 is arranged around the unmanned carrier detection platform 3 and can be set within a range of a set threshold from the radius of the force hammer. For example, it can be 20 cm from the radius of the force hammer. It can accurately capture the sound signal generated after knocking. These signals are then processed by the signal amplifier 3032 and the filter 3033 and transmitted to the processor 304 for in-depth analysis. The signal processing unit and the algorithm library in the processor 304 work together. By performing a fast Fourier transform on the sound signal and conducting a joint time-domain and frequency-domain analysis, the signal processing algorithm is called to obtain the detection result and determine whether there is a hollowing phenomenon in the detection area. In addition to the conventional microphone array, specific types of sound sensors can be added to capture sound signals within a specific frequency range, enabling the system to more accurately identify specific sound patterns related to the hollowing phenomenon, thereby improving the detection accuracy.

[0030] When the processor 304 detects a hollowing, the inkjet marking module 305 makes an inkjet mark at the corresponding position of the hollowing.

[0031] The storage device 306 is responsible for storing all processed data. These data can be exported through the interface for further analysis by the operator.

[0032] The positioning module 307, by integrating sensors such as a GPS module and a laser rangefinder, records the position of the carrier detection platform in real time and marks its specific position when a defect is detected.

[0033] The image acquisition module 308 collects images of the detection area in real time through a high-definition camera. These image data are combined with the sound data obtained by the knocking module 302 to provide more comprehensive detection data for the operator.

[0034] The automatic obstacle avoidance module 309 detects obstacles ahead through ultrasonic sensors, infrared sensors, lidar, etc. By processing the data of the sensors, it judges the position and distance of the obstacles, generates an obstacle avoidance path, adjusts the detection path of the unmanned transport detection platform 2, and avoids obstacles ahead to ensure no collision during the detection process. The data transmission module 310 transmits the knocking detection data and image data to the cloud server in real time through a wireless network, not only realizing remote storage of the data, but also facilitating remote data processing and data analysis.

[0035] The following is a description of the usage process of the present utility model to better illustrate the present utility model.

[0036] S1: Start the device and set the path of the detection area.

[0037] S2: The unmanned transport detection platform moves on the wall according to the preset path, and controls the up and down movement of the platform through the cable system to cover the entire detection area.

[0038] S3: At each detection point, the force hammer knocks in the set order, the sound receiving module receives the knocking sound, and transmits the signal to the processor.

[0039] S4: The processor analyzes the received sound signal to judge whether there is a hollow drum at this point. The inkjet head in the hollow drum defect area sprays ink to form an obvious mark.

[0040] S5: The positioning module records the position of the transport detection platform in real time. When the processor judges a hollow drum defect, it marks and stores the position of the hollow drum defect in the storage device.

[0041] S6: The image acquisition module collects images of the detection area in real time, combines them with the knocking data, and stores them in the storage device.

[0042] S7: The data transmission module transmits the detection data and image data to the cloud in real time to realize remote storage and analysis of the data.

[0043] S8: After the detection of this area is completed, the driving system as a whole moves along the guide rail to the next area to continue the detection.

[0044] In the description of the present utility model, it should be understood that the orientation or positional relationship indicated by the terms "center", "longitudinal", "transverse", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", etc. is based on the orientation or positional relationship shown in the drawings. It is only for the convenience of describing the present utility model and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and thus cannot be construed as a limitation on the protected content of the present utility model.

[0045] The above are only specific embodiments of the present utility model, but the protection scope of the present utility model is not limited thereto. Any person skilled in the art within the technical scope disclosed by the present utility model, according to the equivalent replacement or change of the technical solution and concept of the present utility model, should be covered within the protection scope of the present utility model.

Claims

1. An automatic wall-climbing device for detecting the hollowing of external wall thermal insulation by knocking, characterized in that, Comprising: A driving device (1), including a motor (101), a guide rail (102), a first control unit (103) and a sliding mechanism (104), wherein the motor (101) and the first control unit (103) are arranged on the sliding mechanism (104), the guide rail (102) is installed on the roof and the bottom end of the wall to be detected, the sliding mechanism (104) is slidably installed on the guide rail (102), and the first control unit (103) controls the motor (101) to move horizontally along the guide rail (102); A cable device (2), including a winch (201) and a cable (202), wherein the cable (202) is fixed on the winch (201), the winch (201) is fixed on the sliding mechanism (104), and the motor (101) drives the winch (201) to rotate to wind and unwind the cable (201); An unmanned transport detection platform (3), including a frame (301), a knocking module (302), a sound receiving module (303), and a processor (304), wherein the frame (301) is connected to the sliding mechanism (104) through the cable (202), the sliding mechanism (104) controls the horizontal movement of the frame (301), the cable (202) controls the vertical movement of the frame (301), the knocking module (302) and the sound receiving module (303) are respectively connected to the processor (304), and the sound receiving module (303) receives the sound signal after being knocked by the knocking module (302).

2. The device for automatically climbing a wall and knocking to detect the hollowing of external wall thermal insulation according to claim 1, characterized in that, The knocking module (302) includes a force hammer (3021), a knocking driving mechanism (3022) and a second control unit (3023), the force hammer (3021) and the knocking driving mechanism (3022) are respectively connected to the second control unit (3023), and the second control unit (3023) is connected to the processor (304).

3. The device for automatically climbing a wall and knocking to detect the hollowing of external wall thermal insulation according to claim 2, characterized in that The sound receiving module (303) includes a microphone array (3031), a signal amplifier (3032), and a filter (3033), one end of the signal amplifier (3032) is connected to the microphone array (3031), and the other end is connected to the filter (3033), and the filter (3033) is connected to the processor (304).

4. The device for automatically climbing a wall and knocking to detect the hollowing of external wall thermal insulation according to claim 3, characterized in that, The processor (304) includes a signal processing unit and an algorithm library, the signal processing unit is electrically connected to the filter, and is used to obtain the sound data of the filter, the algorithm library is used for time-domain and frequency-domain analysis, obtain the frequency of the sound data, and judge whether the detection area is hollow according to the frequency of the sound data.

5. The device for automatically climbing a wall and knocking to detect the hollowing of external wall thermal insulation according to claim 4, wherein The unmanned transport detection platform (3) further includes an inkjet marking module (305), which is connected to the processor (304) and is used to inkjet the position judged to be hollow by the processor (304).

6. The device for automatically climbing a wall and knocking to detect the hollowing of exterior wall thermal insulation according to claim 4, characterized in that, The unmanned transport detection platform (3) further includes a storage module (306), which is connected to the processor (304) and is used to store detection data and results, and is also used for data export and remote transmission.

7. An apparatus for automatically climbing a wall to detect hollowing of external wall thermal insulation by knocking, as described in claim 4, wherein The unmanned carrier detection platform (3) further includes a positioning module (307), which is connected to the processor (304) and is used to record the positions determined by the processor (304) as hollow drums and save the position information.

8. An apparatus for automatically climbing a wall and knocking to detect hollowing of external wall thermal insulation according to claim 4, characterized in that, The unmanned carrier detection platform (3) further includes an image acquisition module (308), which is connected to the processor (304), and the image acquisition module (308) acquires images of the detection area in real time.

9. The device for automatically climbing a wall and knocking to detect the hollowing of external wall thermal insulation according to claim 4, characterized in that, The unmanned carrier detection platform (3) further includes an automatic obstacle avoidance module (309), which is connected to the processor (304) and is used to detect obstacles ahead and automatically adjust the path to avoid collisions.

10. The device for automatically climbing a wall and knocking to detect the hollowing of external wall thermal insulation according to claim 4, characterized in that, The unmanned carrier detection platform (3) further includes a data transmission module (310), which is connected to the processor (304) and transmits the detection data to the cloud server in real time through a wireless network to realize remote storage and analysis of the data.

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